We are building an open database of COVID-19 cases with chest X-ray or CT images. Professor Ghassemi completed her PhD at MIT where her research focused on machine learning in health care. Gha s s e m i , M.* , W u, M.*, Hughe s , M.C . Marzyeh targets “Healthy ML”, focusing on creating applying machine learning to understand and improve health. Marzyeh Ghassemi is an Assistant Professor at the University of Toronto in Computer Science and Medicine, affiliated with the Vector Institute. Toronto, ON M5S 3G4, Canada Email: marzyeh (at) cs (dot) toronto (dot) eduRead more → - ieee8023/covid-chestxray-dataset Incremental few-shot learning for low- and multi-label medical image pathology classification. Dr. Marzyeh Ghassemi is an Assistant Professor at the University of Toronto in Computer Science and Medicine, and a Vector Institute faculty member holding a Canadian CIFAR AI Chair and Canada Research Chair. 10.Taylor Killian, Marzyeh Ghassemi, and Shalmali Joshi. AI for Healthcare Improving health requires targeting and evidence. *, S z ol ovi t s , P ., a nd Dos hi -Ve l e z , F . Office: Department of Computer Science and Medicine University of Toronto Office: Pratt 286A 6 King’s College Rd. Ghassemi, M ., Syed, Z., and R.E ., Gut t a g, J.V. In Inductive Biases, Invariances and Generalization in RL (BIG) at ICML, 2020 [arXiv] 11.Arnold Yeung, Shalmali Joshi, Joseph Williams, and Frank Rudzicz. Previously, she was a Visiting Researcher with Alphabet’s Verily and a post-doc with Dr. Peter Szolovits at IT (CV). This session will cover some of the novel technical opportunities for machine learning in health challenges, and the important progress to be made with careful application to domain. Previously, she was a Visiting Researcher with Alphabet's Verily and a post-doc with Dr. Peter Szolovits at MIT (CV). Discrete switching-state sy ste ms for ICU vasopr e ssor i nte r ve nti on and we ani ng pr e di c ti ons. Professor Ghassemi completed her PhD at MIT where her research focused on machine learning in health care. Marzyeh tackles part of this puzzle with machine learning. W2 Laleh Seyyed-Kalantari, Karsten Roth, MengyeRen, Parsa Torabian, Joseph P. Cohen, Marzyeh Ghassemi. ... she was a Visiting Researcher with Alphabet’s Verily and a post-doc with Dr. Peter Szolovits at MIT (CV). Sequential explanations with mental model-based policies. Marzyeh has 7 jobs listed on their profile. Marzyeh targets “Healthy ML”, focusing on applying machine learning to understand and improve health. In Medical Imaging Meets NeurIPS Workshop, Vancouver, BC, Canada, 2020. She currently serves as a NeurIPS 2019 Workshop Co-Chair, and Board Member of the Machine Learning for Health Unconference. View Marzyeh Ghassemi’s profile on LinkedIn, the world’s largest professional community. P r e d i c ti n g i n te r ve n ti on on s e t i n th e I CU wi th s wi tc h i n g s tate s p ac e mod e l s . Previously, she was a Visiting Researcher with Alphabet's Verily and a post-doc with Dr. Peter Szolovits at MIT (CV). Ghassemi, M. Wu, M., Feng, M . (2015) Ne ural Informa t i on Proc e ssi ng Syst e m s (NIPS 2015) Workshop on Machine Learning in He a l t hc a re . Dr. Marzyeh Ghassemi. Marzyeh Ghassemi - Assistant Professor, Faculties of Computer Science Counterfactually guided policy transferin clinical settings. Dr. Marzyeh Ghassemi is an Assistant Professor at the University of Toronto in Computer Science and Medicine, and a Vector Institute faculty member holding a Canadian CIFAR AI Chair and Canada Research Chair.